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Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
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Published on: May 30, 2014

Giant noise amplification in synchronously pumped optical parametric oscillators.

G D'Alessandro1, C Brent Laforet

  • 1School of Mathematics, University of Southampton, Highfield, Southampton, UK. dales@soton.ac.uk

Optics Letters
|March 3, 2009
PubMed
Summary

Synchronously pumped optical parametric oscillators exhibit giant noise amplification up to 10^9. Pseudospectra identify regions and magnitudes of this significant optical noise amplification.

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Area of Science:

  • Nonlinear optics
  • Quantum optics
  • Laser physics

Background:

  • Optical parametric oscillators (OPOs) are crucial for generating tunable laser light.
  • Understanding noise properties in OPOs is essential for their application in sensitive measurements.
  • Synchronous pumping introduces unique dynamics affecting OPO noise characteristics.

Purpose of the Study:

  • To numerically investigate the phenomenon of giant noise amplification in synchronously pumped optical parametric oscillators (SPOPOs).
  • To identify the specific parameter regimes within SPOPOs that lead to extreme noise amplification.
  • To quantify the magnitude of this noise amplification effect.

Main Methods:

  • Numerical simulations were employed to model the behavior of the SPOPO.
  • Pseudospectra analysis was utilized as a key technique for identifying noise amplification regions.
  • The magnitude of noise amplification was estimated using the pseudospectra data.

Main Results:

  • Giant noise amplification, reaching levels of the order of 10^9, was numerically demonstrated in SPOPOs.
  • Pseudospectra successfully identified the parameter space conducive to this extreme noise amplification.
  • The methodology allowed for accurate estimation of the noise amplification magnitude.

Conclusions:

  • SPOPOs are capable of exhibiting exceptionally large noise amplification under specific operating conditions.
  • Pseudospectra provide an effective tool for characterizing and predicting noise behavior in such systems.
  • The findings have implications for the design and application of OPOs where noise control is critical.